122 Azure Openai Jobs

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida

Role Responsibilities: Build and maintain Generative AI models using AWS and Azure AI services Design and deploy data pipelines for ML workflows Ensure secure and context-aware AI implementations Provide production support and optimize deployed models Job Requirements: Minimum 1 year of hands-on Generative AI project experience Strong understanding of AWS (Sagemaker, Lambda, API Gateway, S3) Familiarity with Azure AI services and Azure OpenAI Experience in production-grade ML/AI model support

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Opportunity With HCLTech || Senior Manager Presales -Gen AI || PAN India Job Title: Senior Manager - Presales Location: Bangalore/ Noida / Pan India Experience: 7 to 13 yrs Department: Integrated GTM Team - Digital Business Services (DBS) and Engineering Services (ERS) About the Role We are looking for a dynamic Senior Manager Presales (GenAI Focus) to join our Business Acceleration Group. In this role, you will drive GenAI-led service transformation and value chain innovation across large-scale IT outsourcing and digital transformation pursuits. You will collaborate with sales, delivery, and practice teams to create differentiated AI-led solution narratives, accelerate RFP responses, and engage with clients on how AI and GenAI can deliver measurable business outcomes. Key Responsibilities AI-led Solutioning Develop compelling proposals that position AI for end-to-end service transformation (automation of IT/Business Ops, AI-driven modernization, GenAI copilots for delivery). Shape narratives for AI in value chain innovation , showcasing GenAI use cases across industries (retail, manufacturing, BFSI, life sciences, etc.). Collaborate with practice teams to integrate AI Force and HCLTech accelerators into client solutions. Presales Leadership Lead RFP responses, orals, and proactive proposals with a focus on GenAI-enabled value differentiation . Drive thought leadership and create reusable GenAI-led sales assets (pursuit decks, case studies, PoV documents). Mentor and upskill presales team members on articulating GenAI solutions. Client Engagement Engage with CXOs, procurement, and technology leaders to translate business pain points into AI-enabled transformation roadmaps . Present AI-led solution strategies in orals, workshops, and analyst interactions. Collaboration & Governance Partner with Delivery, Practices, and AI/Analytics units to align solution feasibility and win themes. Ensure responsible AI positioning in all pitches, highlighting governance, ethics, and compliance. Qualifications & Experience 7+ years of experience in presales, solutioning, or consulting in IT services. Strong understanding of IT outsourcing models, digital transformation, and AI-led automation . Exposure to GenAI platforms (OpenAI, Azure OpenAI, Google Gemini, Anthropic, etc.) and enterprise AI adoption patterns. Proven track record of leading large RFPs/proposals and building differentiated solution narratives. Ability to work across cross-functional teams and influence senior stakeholders. Education: Bachelors degree in computer science, Engineering, Business Administration, or a related field. A masters degree or relevant certifications (e.g., AWS, Azure, ITIL, PMP) would be an advantage Skills & Competencies Strong business acumen with ability to connect AI technology to business outcomes . Excellent storytelling and proposal writing skills, with the ability to make complex AI topics simple and client relevant. Familiarity with AI Force or equivalent enterprise AI frameworks is a plus. Executive presence, strong communication, and presentation skills. A passion for innovation and continuous learning in the GenAI ecosystem . Why Join Us This role offers the opportunity to: Be at the forefront of AI-driven presales and solutioning . Shape large, strategic pursuits that define how clients adopt GenAI for transformation . Work in a collaborative team that drives growth across HCLTechs Digital Business Services and Engineering Services portfolios . Show more Show less

Job Role: Generative AI Engineer Intern Company: Growhut Technologies Private Limited Job Type: Full-Time Internship Location: Remote Stipend: INR 15,000 - 20,000 per month Duration: 6 Months ???? About Growhut At Growhut , were not just building AI products were shaping the future of intelligent systems. We create real-world impact by developing AI solutions that blend human intuition with machine precision, across language, vision, and agentic automation. As a fast-growing AI lab, we work with global clients and build our own in-house products including voice AI, agent orchestration tools, and futuristic collaboration systems. Now, were looking for Generative AI Engineer Interns who are obsessed with building agentic AI systems systems that dont just answer questions but get things done. ???? The Role: Generative AI Engineer Agentic AI (Internship) As an intern at Growhut, youll work at the cutting edge of agentic workflows , using multi-agent frameworks to build systems that reason, plan, and execute in real time. Youll collaborate with a team of builders to implement AI systems that combine LLMs, RAG pipelines, multi-modal processing , and tool-use agents . ???? What Youll Do Design, build, and test agentic AI workflows using frameworks like Krivya, LangGraph, CrewAI, AutoGen , or Autogen Studio . Integrate LLMs (GPT-4, Claude, Lamma, etc.) into real-world automation pipelines with live APIs and tool usage. Deploy autonomous agents that can perform tasks such as research, document generation, summarization, and coordination. Work with retrieval-augmented generation (RAG) techniques, memory systems, and context-aware task planning. Experiment with prompt chaining, long-term memory, and multi-agent collaboration protocols. Contribute to building scalable backend infrastructure for inference, tool integration, and async workflows. Collaborate on internal research initiatives and proof-of-concept projects in AI-human collaboration. ???? Technical Requirements Were looking for someone with hands-on experience or a firm grasp of the following: Must-Have: Strong understanding of Agentic AI , multi-agent workflows, and orchestration strategies. Experience with open-source frameworks like LangGraph, Krivya, AutoGen, CrewAI , or similar tools. Familiarity with vector databases (e.g., Pinecone, Weaviate, Qdrant) and RAG systems . Proficiency in Python , and working knowledge of LangChain , Transformers , and Prompt Engineering . Exposure to LLMs (e.g., GPT-4, Claude, Gemini, Mistral) and their APIs. Comfort with cloud-managed services : AWS Bedrock, Google Vertex AI, or Azure OpenAI. Understanding of tool calling , function calling , and memory management in LLM contexts. Familiarity with LiveKit , real-time communication protocols, and event-driven systems. Nice-to-Have: Experience with audio/voice models or multi-modal agents . There is interest in task decomposition strategies like ReAct, Tree of Thought, and Plan-and-Execute. Exposure to LangChain Expression Language (LCEL) and custom agent toolkits. ???? Why Join Growhut Build Real Systems : Not just research youll build end-to-end agentic products for real users. Mentorship from Experts : Collaborate with a team thats pushing boundaries in AI and automation. Global Exposure : We work with clients and users around the world across BFSI, health, SaaS, and beyond. Cutting-Edge Infrastructure : Work on high-impact projects using the latest open-source tools and enterprise-grade services. ???? The Growhut Difference At Growhut, we believe in building executional AI systems that dont just predict or inform but actually act . Were creating the infrastructure of tomorrows autonomous work. Youll get to build with full-stack agents that talk, listen, plan, and execute across real-world workflows. ?? Ready to Apply If youre serious about building the next generation of autonomous AI agents , apply now and join us in building the future one agent at a time. Show more Show less

???? Join The Family Office as an Associate AI Engineer Are you a recent graduate in Computer Science, Software Engineering, or Data Science, ready to turn your passion for AI into real-world impact Were looking for an Associate AI Engineer to join our team at The Family Office (TFO) . This role offers hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments ???? Why Join TFO At The Family Office, we live and work by our core values: Trust Transparency Honesty Commitment Youll be part of a forward-thinking, collaborative team solving real business problems using advanced AI tools such as Azure OpenAI, MLOps pipelines, and real-time observability platforms ???? What Youll Do ???? AI Model Development Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI. Develop data preprocessing pipelines (cleaning, tokenization, normalization). Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations. ???? MLOps & Lifecycle Management Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking. Monitor model performance using Azure Monitor and Application Insights. Maintain AI notebooks and experiments through Azure AI Studio (Foundry). ???? Collaboration & Learning Work closely with Senior AI Engineers, Data Scientists, DataOps, and PlatformOps. Participate in peer reviews, documentation, and continuous learning. ? Quality & Delivery Ensure code quality, documentation standards, and timely delivery. Contribute to testing, validation, and integration of AI solutions into production. ???? Who Were Looking For Recent graduates in Computer Science, AI, ML, or Data Science. Hands-on experience in AI/ML projects. Fast learners with a strong desire to grow in a dynamic, supportive environment. Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals. ????? Tools & Technologies Languages: Python, SQL, JSON Frameworks: PyTorch, Hugging Face Transformers MLOps: Azure ML, Azure AI Studio, MLflow, DVC DataOps: Azure Data Factory, Synapse, Data Lake Monitoring: Azure Monitor, Application Insights AI: Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI ???? Ready to Launch Your AI Career This isnt just a jobits your launchpad into the future of enterprise AI. If you&aposre curious, driven, and eager to build real-world solutions with impact, wed love to hear from you. ???? Apply today and take the first step toward shaping the future with AI. The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. Show more Show less

Exp: 7+ yrs Location : Aziro Bangalore Roles and Responsibilities: Working along with the Business Analyst, Testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated. Working on test procedures and scenarios for the pre-UAT phases. Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 7+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.

Exp : 7+ yrs Location : Aziro Bangalore Roles and Responsibilities: Working along with the Business Analyst, Testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated. Working on test procedures and scenarios for the pre-UAT phases. Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 7+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.

Job Summary: Seeking a Lead Engineer with Azure, .NET, and GenAI tools expertise for running PoCs and tool evaluations. Must-Have Skills: Hands-on with Copilot, Codex, Cursor AI, Qodo, Azure OpenAI Strong in C# / Python / JavaScript / Java Code review, automation, refactoring, testing Lead Proof of Concept (PoC) development and technical evaluations Collaborate with cross-functional teams to implement GenAI tooling

Hello, Greetings from NewVision Software!! We are hiring on an immediate basis for the role of Technical Lead - Gen AI | NewVision Software | Pune, Hyderabad & Bhopal Location | Fulltime Looking for professionals who can join us Immediately or within 15 days is preferred. Please find the job details and description below. NewVision Software PUNE HQ OFFICE 701 &702, Pentagon Tower, P1, Magarpatta City, Hadapsar, Pune, Maharashtra - 411028, India NewVision Software The Hive Corporate Capital, Financial District, Nanakaramguda, Telangana - 500032 NewVision Software IT Plaza, E-8, Bawadiya Kalan Main Rd, near Aura Mall, Gulmohar, Fortune Pride, Shahpura, Bhopal, Madhya Pradesh - 462039 Job Description 1. Strong proficiency in programming languages like Python and SQL with more than 8 years total experience. 2. Over 5+ years of experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression , classification, ensemble model,RNN,LSTM,GRU. 3. 3+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 4. Proficiency in LangChain, LangGraph and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering 5. Proficiency in Generative techniques prompt engineering, Vector DB, LLMs such as OpenAI,LlamaIndex, Azure OpenAI, Agentic Frameworks, Open-source LLMs will be important 6. Hands-on experience in GenAI technology areas including RAG architecture, fine tuning techniques, inferencing frameworks etc. 7. Familiarity with big data technologies/frameworks good to have 8. Sound knowledge of Microsoft Azure preferred Education : Bachelors degree in computer science engineering or related field (or equivalent experience). Do share your resume with my email address: imran.basha@newvision-software.com Please share your experience details: Total Experience: Relevant Experience: Exp: Gen AI: Yrs, Python: Yrs, AI: Yrs, ML: Yrs, Current CTC: Expected CTC: Notice / Serving (LWD): Any Offer in hand: LPA Current Location Preferred Location: Education: Please share your resume and the above details for Hiring Process: - imran.basha@newvision-software.com

As a Mid-Level LLM Application Developer with 3+ years of experience in software development, you will have the opportunity to work on designing, developing, and deploying scalable LLM-powered solutions using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to bring innovative AI solutions to life, leveraging generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Extend digital products and platforms with new capabilities and LLM Apps. - Support the adoption of digital platforms and LLM Apps by onboarding new clients and driving automation for client adoption. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines and develop conversational agents and virtual assistants using frameworks like LangChain or LlamaIndex. - Integrate LLMs with external tools, APIs, and business data systems. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components to ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Strong proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage, GPT Model family, and integration. - Deep experience in prompt engineering and building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience building cloud-native services with serverless architectures. - Familiarity with NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelors degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,

As an AI Software Engineer at our company, you will be an integral part of our advanced AI development team. Your primary responsibilities will include designing, building, and deploying enterprise-grade AI-driven applications utilizing cutting-edge technologies such as LangChain, LangGraph, and Azure OpenAI. Your role will involve developing full-stack solutions that incorporate large language models (LLMs), creating secure and scalable cloud-native systems, and contributing to the platform's architecture and performance optimization. To excel in this position, you must possess deep technical expertise in backend and frontend development, exceptional problem-solving skills, and a strong enthusiasm for AI-driven innovation. Key Responsibilities: - Lead the design and development of scalable, high-performance AI-powered applications. - Architect and implement full-stack solutions using Python (FastAPI) for backend and React + TypeScript for frontend. - Build and integrate LLM-based services and autonomous AI agents using frameworks like LangChain and LangGraph. - Design and implement intelligent agent workflows using Azure OpenAI or similar APIs (OpenAI, Anthropic, Cohere). - Fine-tune prompt engineering techniques to enhance the performance and contextuality of LLM interactions. - Optimize agent behavior and interaction flows based on application usage data and business logic. - Deploy, monitor, and manage applications on AWS and Azure utilizing services such as Azure DevOps, Azure Active Directory, AWS EC2/ECS, Secrets Manager, IAM. - Implement continuous integration and delivery (CI/CD) pipelines via GitHub Actions, Azure DevOps, or similar tools. - Ensure high availability, performance, and security of cloud-native systems. - Design and manage NoSQL databases including MongoDB (Motor/Beanie ODM) and Redis for real-time data access and caching. - Optimize data retrieval, search, and storage for LLM applications using vector databases and advanced caching strategies. - Implement secure authentication and authorization systems using OAuth2, SAML, JWT, and Azure AD. - Ensure proper audit logging, access control, and data compliance across deployed applications. - Collaborate with product managers, designers, and QA teams to ensure seamless integration of AI features. - Document solution architecture, conduct root cause analysis (RCA), and prepare technical documentation for deployments and upgrades. - Mentor junior developers and contribute to the continuous improvement of engineering practices. Mandatory Qualifications & Experience: Technical Stack: Languages & Frameworks: Python, FastAPI, Node.js, React, TypeScript, JavaScript AI Tools: LangChain, LangGraph, Azure OpenAI, Prompt Engineering, OpenAI SDK Cloud Platforms: AWS (Secrets Manager, ECS/EC2, IAM), Azure (DevOps, AD), GCP DevOps Tools: GitHub Actions, Azure DevOps, Docker, CI/CD: MongoDB (Motor, Beanie), Redis, Vector DBs (e.g., Pinecone) Security: OAuth2, SAML, JWT, Azure Active Directory (ref: hirist.tech),

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team's mission is to develop, implement, and integrate technology solutions that better serve our clients and engagement teams. As a member of EY's core Tax practice, you will develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and study more data than ever before. Handling the variety and volume of data efficiently and effectively is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team members work closely with the firm's partners, clients, and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive and market-leading tools supporting Tax. EY is currently seeking a Generative AI Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata, India. **The Opportunity:** We are looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Your Key Responsibilities:** - Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/platform development strategy. - Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. - Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. - Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. **Skills and Attributes for Success:** **Must-Have:** - Skilled in full-stack application development with .NET C#, REST Api, React, or any other typescript-based UI frameworks, SQL databases. - Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID, etc. - Containerization - Docker, Azure container apps, Azure Kubernetes Services (AKS). - No-SQL database such as Cosmos or MongoDB. - Working experience with source control such as git or TFVC. - CI/CD pipelines, Azure DevOps, GitHub Actions, etc. - Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. - Fundamental understanding of various types of Large Language Models (LLMs). - Fundamental understanding of Retrieval Augment Generation (RAG) techniques. - Fundamental understanding of classical AI/ML. - Skilled in Advanced prompt engineering. **Nice-to-Have:** - Awareness about various AI Agents/Agentic workflow frameworks and SDKs. - Graph Database such as Neo4j. - Experience with M365 Copilot Studio. - Microsoft Azure AI-900/AI-102 Certification. **Behavioural Skills:** - Excellent learning ability. - Strong communication skills. - Flexibility to work both independently and as part of a larger team. - Strong analytical skills and attention to detail. - The ability to adapt your work style to work with both internal and client team members. **To qualify for the role, you must have:** - Bachelor's/master's degree in software engineering/information technology/BE/B.TECH. - Overall 5-9 years of experience. **Ideally, you'll also have:** - Thorough knowledge of Tax or Finance Domain. - Strong analytical skills and attention to detail. EY offers a dynamic and truly global delivery network with opportunities to work with well-known brands from across the globe. You will collaborate with EY teams on exciting projects, develop your skills and insights, and be a part of a diverse and inclusive culture where you can make a meaningful impact your way. EY is committed to building a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Join us on this journey to ask better questions and find new answers to the complex issues facing our world today.,

As an AI Engineer at Telstra, you will play a crucial role in designing and developing intelligent backend services and frameworks to support AI-driven applications. Your responsibilities will involve collaborating with cross-functional teams to create scalable, cloud-native solutions that leverage large language models (LLMs) and contribute to the enhancement of internal AI frameworks. This position also presents opportunities for growth into broader full-stack and platform-level responsibilities. At Telstra, we offer a supportive work environment that includes access to a wide range of learning programs to help you enhance your skills. With a global presence across 22 countries, you will have opportunities to work in various locations where we operate. We also provide generous parental leave benefits, annual leave entitlements, paid sick leave, and relocation support options within India. Additionally, you will receive insurance benefits such as medical, accidental, and life insurance coverage. In your role, you will be responsible for building AI-powered backend services, contributing to the development of internal AI frameworks, and designing prompts for LLMs to ensure accurate responses. You will integrate with orchestration frameworks like LangChain and LangGraph, connect services to cloud-native AI platforms such as Azure OpenAI and AWS Bedrock, and deploy containerized or serverless microservices using AWS ECS Fargate and AWS Lambda. Collaboration with frontend engineers to support API integration into React-based user interfaces is also a key aspect of your role. You will be expected to write clean, maintainable, and testable code following internal standards, as well as participate in debugging, issue troubleshooting, documentation, code reviews, and internal knowledge sharing. To be successful in this role, you should have 3-6 years of overall experience and strong proficiency in Python for building scalable backend services. A deep understanding of prompt engineering, LLM interaction patterns, and hands-on experience with AI orchestration tools like LangChain and LangGraph are essential. Experience with containerized or serverless deployments on AWS, familiarity with Azure OpenAI and AWS Bedrock, and knowledge of Git, Docker, and CI/CD pipelines are also required. Strong problem-solving skills, the ability to work collaboratively in agile teams, and awareness of testing strategies and service virtualization techniques are important for this role. Desirable growth areas include knowledge of backend frameworks like Spring Boot (Java) and a willingness to learn and contribute to frontend development using React.js. Telstra values diversity and inclusion, and we actively seek individuals from various backgrounds and identities to enrich our team and work environment. We uphold a zero-tolerance policy for harassment and prioritize creating a safe and inclusive workplace for all employees. If you are passionate about sustainability and want to work for a company that values these principles, we encourage you to apply to join our team at Telstra. As part of the hiring process, background checks will be conducted, and flexibility in work arrangements is supported. We are committed to improving website accessibility and accommodating individuals who may require alternate formats for information or applications. For any accessibility issues or accommodation needs, please reach out to our Talent Acquisition team for assistance.,

About Birlasoft: At Birlasoft, we are a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. We are looking for an experienced technical lead to implement an enterprise-grade conversational AI interface leveraging technologies like NodeJS, Python, LangChain, Azure OpenAI, and Azure Cognitive Services. Responsibilities: - Implement conversational AI application using NodeJS, Azure OpenAI, and Python. - Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cognitive Search, Indexes, Indexers, and APIs, etc.) to enable sophisticated natural language capabilities. - Implementation of private endpoints across the Azure services leveraged for the application. - Implement schemas, APIs, frameworks, and platforms to operationalize AI models and connect them to conversational interfaces. - Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis, etc. - Build and deploy the production application on Azure while meeting security, reliability, and compliance standards. - Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application. - Mentor developers and provide training on conversational AI development best practices. - Build and productionize vector databases for the application on Azure cloud. Key Responsibilities: - 6-8 years of overall technology experience in core application development. - 2+ years of experience leading the development of AI apps and conversational interfaces. - Hands-on implementation-centric knowledge of generative AI tools on Azure cloud. - Deep, hands-on, and development proficiency in Python and NodeJS. - Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL). - Hands-on knowledge of Azure Form Recognizer tools. - Experience with LangChain, Azure OpenAI, and Azure Cognitive Search. - Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python. - Vector databases on Azure cloud using PostgreSQL. - Pinecone, FAISS, Weaviate, or ChromaDB. - Prompt Engineering using LangChain or Llama Index. - Knowledge of NLP techniques like transformer networks, embeddings, intent recognition, etc. - Hands-on skills on Embedding and fine-tuning Azure OpenAI using MLOPS/LLMOPS pipelines. - Good to have - Strong communication, DevOps, and collaboration skills.,

We are seeking a skilled and passionate Prompt Engineer with expertise in Prompt Engineering and LLM-based application development. As a Prompt Engineer, you will be responsible for designing, developing, and scaling GenAI-powered applications using cutting-edge technologies in AI, full-stack development, and cloud computing. Your key responsibilities will include designing and developing AI applications utilizing Large Language Models (LLMs) such as GPT-4, Claude, or LLaMA. You will be tasked with writing, optimizing, and evaluating prompts for various tasks and use cases. Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies is essential for this role. Additionally, you will be expected to build responsive frontend interfaces using frameworks like React.js, Vue.js, or similar. Integration with AI APIs such as OpenAI, Azure OpenAI, Cohere, etc., and working with frameworks like LangChain, LlamaIndex, and RAG pipelines will be part of your daily tasks. Implementing vector databases like Pinecone, Weaviate, and FAISS for knowledge retrieval is also crucial. Collaboration with cross-functional teams for system integration and deployment to ensure best practices in coding, testing, DevOps, and cloud deployment is a key aspect of this role. The ideal candidate should possess proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies and have experience with AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face. Hands-on experience with Prompt Engineering for Large Language Models (LLMs) such as GPT, Claude, LLaMA, etc., and knowledge of RAG, LangChain, or LlamaIndex are highly desired. Familiarity with AI APIs like OpenAI, Azure OpenAI, and backend development using FastAPI, Flask, or Express is required. Experience in frontend development using React or Vue.js, familiarity with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP) are essential skills for this role. Preferred skills include experience with LangChain, LlamaIndex, or similar frameworks, familiarity with tools like Hugging Face, OpenAI Playground, Azure OpenAI Studio, knowledge of MLOps tools, and data pipelines, and understanding of prompt tuning and fine-tuning LLMs.,

As a Data Scientist specializing in GenAI within the Banking domain, you will utilize your extensive experience of over 10 years in Data Science, with a focus of 3+ years specifically in GenAI. Your expertise will be instrumental in developing, training, and fine-tuning GenAI models such as LLMs and GPT for various banking use cases. You will collaborate closely with business and product teams to design and implement predictive models, NLP solutions, and recommendation systems tailored to the financial industry. A key aspect of your role will involve working with large volumes of both structured and unstructured financial data to derive valuable insights. Moreover, you will be responsible for ensuring the ethical and compliant use of AI by incorporating practices related to fairness, explainability, and compliance into the model outputs. Deployment of these models using MLOps practices like CI/CD pipelines and model monitoring will also be within your purview. Your skill set must include a strong proficiency in Python programming, along with a deep understanding of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch. Hands-on experience with GenAI tools like OpenAI, Hugging Face, LangChain, and Azure OpenAI will be crucial for success in this role. Furthermore, your expertise in NLP, prompt engineering, embeddings, and vector databases will play a pivotal role in building models for critical banking functions like credit risk assessment, fraud detection, and customer segmentation. While not mandatory, it would be advantageous to possess knowledge of LLM fine-tuning and retrieval-augmented generation (RAG) in addition to familiarity with data privacy and compliance regulations such as GDPR and RBI guidelines as they pertain to AI systems. Your understanding of banking data, processes, and regulatory requirements will be key in delivering effective AI-driven solutions within the financial services industry.,

We are seeking a proactive Copilot Developer to design, develop, and maintain solutions using Microsoft Copilot Studio . You will be responsible for gathering business requirements, acting as a solutions architect, and integrating Microsoft Copilot with other Power Platform solutions like Power Automate and SharePoint. This role requires strong problem-solving skills and experience with AI-powered development tools to translate business needs into technical solutions. Roles & Responsibilities: Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. Communicate with business users to gather requirements and design effective Microsoft Copilot solutions. Act as a business solutions architect in the Microsoft Copilot space, providing guidance to team members. Develop custom connectors for Microsoft Copilot. Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, SharePoint , and different knowledge bases. Provide support for existing solutions and collaborate with cross-functional teams to investigate issues. Skills Required: Strong experience with the Microsoft Power Platform . Experience integrating REST APIs , custom connectors, and Azure services . Experience with Copilot AI, Azure OpenAI , or similar AI-powered development tools and LLMs , with a familiarity with AI concepts. Strong problem-solving skills and the ability to translate business needs into technical solutions. Must-have skills include Microsoft Power Apps and Microsoft Copilot . QUALIFICATION: Proficiency in Computer Science, Engineering, Information Systems, or a related field.

Key Responsibilities: Design, develop, and maintain solutions using Microsoft Copilot Studio , including both declarative and custom agents Act as a business solutions architect for Microsoft Copilot implementations Gather requirements and design end-to-end solutions in collaboration with business users Develop custom connectors for Microsoft Copilot to extend capabilities Integrate Microsoft Copilot with Power Platform tools like Power Automate , Power Apps , SharePoint , Teams , and external knowledge bases Provide ongoing support and troubleshoot existing Copilot-based solutions Collaborate with cross-functional teams to investigate and resolve integration or design issues Required Qualifications: Bachelor's degree in Computer Science , Engineering , Information Systems , or a related field Strong hands-on experience with the Microsoft Power Platform Proficiency in Microsoft Copilot and Power Apps development Experience integrating REST APIs , Azure services , and custom connectors Familiarity with Copilot AI , Azure OpenAI , LLMs , and general AI development concepts Ability to translate business requirements into scalable technical solutions Strong communication, problem-solving, and analytical skills

As a Data Scientist specializing in GenAI within the Banking domain, you will leverage your extensive experience of over 10 years in Data Science, with a specific focus of 3+ years in GenAI. Your key responsibility will revolve around developing, training, and fine-tuning GenAI models such as LLMs, GPT, etc., tailored for banking use cases. Additionally, you will be tasked with designing and implementing predictive models, NLP solutions, and recommendation systems while working with large volumes of structured and unstructured financial data. Collaboration with business and product teams to define AI-driven solutions will be crucial in your role. You will play a pivotal part in ensuring responsible AI practices, fairness, explainability, and compliance in model outputs. Deployment of models using MLOps practices including CI/CD pipelines and model monitoring will also be within your purview. Your skill set must include strong proficiency in Python programming along with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Hands-on experience with GenAI tools such as OpenAI, Hugging Face, LangChain, Azure OpenAI, etc., will be essential. Expertise in NLP, prompt engineering, embeddings, and vector databases is a prerequisite. Furthermore, you should have experience in building models for credit risk assessment, fraud detection, customer segmentation, among others. A solid understanding of banking data, processes, and regulatory requirements is essential for success in this role. Moreover, having knowledge in LLM fine-tuning and retrieval-augmented generation (RAG) is considered a good-to-have skill. Exposure to data privacy and compliance standards such as GDPR, RBI guidelines, in AI systems will be an added advantage.,

As a Training Program Developer specializing in AI and Machine Learning, your primary responsibilities will include: - Developing, designing, and delivering comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. - Creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. - Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their practical applications. - Keeping abreast of the latest advancements in AI, ML, and Generative AI technologies to continuously enhance and customize the training curriculum. - Providing expert guidance and support to clients and internal teams on AI and ML projects, including best practices, implementation strategies, and troubleshooting. - Collaborating with consulting teams to align training content with the newest features and updates in Azure AI and related technologies. - Evaluating the effectiveness of training programs through feedback and assessment, and making necessary improvements for high-quality learning experiences. - Mentoring and coaching junior trainers and team members to cultivate a knowledgeable and skilled training team. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Minimum of 5 years of experience in AI, machine learning, and deep learning, with a focus on Azure AI, Azure OpenAI, and related technologies. - Strong expertise in Open-Source large language models (LLMs), Generative AI, and applied Generative AI technologies. - Proficiency in using Azure services and tools, such as Azure Machine Learning, Azure AI Services, and Azure OpenAI. - Hands-on experience with Python/C#, APIs, Notebooks, popular IDEs, and Frameworks like TensorFlow/PyTorch. - Excellent presentation and communication skills to articulate complex concepts clearly and succinctly. - Experience in designing and delivering technical training programs, both in-person and virtually. - Strong problem-solving abilities and the capacity to offer practical solutions to technical challenges. - Passion for teaching and knowledge sharing, coupled with a dedication to continuous learning and professional development. Preferred Qualifications: - Knowledge of multiple Hyper-scalers like Azure, AWS, or GCP. - Certifications in Azure AI, Azure Machine Learning, or related areas. - Experience in developing AI and ML applications using Python, TensorFlow, PyTorch, or similar frameworks. - Understanding of AI ethics, responsible AI practices, and regulatory considerations in AI deployment. - Familiarity with DevOps practices and tools for AI and ML projects. Key Personal Attributes: - Strategic and process-oriented thinking. - Excellent communication and interpersonal skills. - A relentless learner with a passion for new technologies. - Self-motivated with a keenness to introduce new ideas for training and development. - Attitude of taking proprietorship of tasks.,

As an AI Data Scientist at Johnson Controls located in Pune, India, you will be an integral part of the Data Strategy & Intelligence team. You will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production to contribute to optimized energy utilization, auto-generation of building insights, and predictive maintenance for installed devices. To excel in this role, you must possess a deep understanding of machine learning concepts, Large Language Models (LLM), time series models, and have hands-on experience in developing and deploying ML/Generative AI/time series models in a production environment. Your primary responsibilities will include developing and maintaining AI algorithms and capabilities within digital products at Johnson Controls. By leveraging data from commercial buildings and applying advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Additionally, you will translate data into recommendations for various stakeholders, ensuring that AI solutions deliver robust and repeatable outcomes through well-designed algorithms and software. Collaboration is key in this role, as you will work closely with product managers to design new AI capabilities, explore and analyze datasets, write Python code to develop ML/Generative AI/time series prediction solutions, implement state-of-the-art techniques in Generative AI, and pre-train and finetune ML models over CPU/GPU clusters. You will also uphold code-quality standards, develop test cases to validate algorithm correctness, and communicate key results to stakeholders effectively. The ideal candidate for this position should hold a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, and scikit-learn is essential. Moreover, a strong understanding of ML algorithms and techniques, experience in working with cloud-based ML/GenAI model development/deployment, and excellent communication skills are prerequisites for success in this role. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

At PwC, the focus within risk and compliance is on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. The team assists organizations in navigating complex regulatory environments and enhancing internal controls to effectively mitigate risks. As a risk management generalist at PwC, you will offer advisory and practical support across various specialized risk and compliance areas. In this role, being driven by curiosity is key, as you are expected to be a reliable and contributing member of a team. The fast-paced environment requires you to adapt to working with diverse clients and team members, each presenting unique challenges. Every experience serves as an opportunity for learning and growth. Taking ownership and consistently delivering quality work to drive value for clients and team success are essential. As you progress within the firm, you establish a brand for yourself, creating more opportunities. Some key skills, knowledge, and experiences required for this role include: - Applying a learning mindset and taking ownership of personal development. - Valuing diverse perspectives, needs, and feelings of others. - Developing habits to sustain high performance and unlock potential. - Actively listening, asking clarifying questions, and articulating ideas clearly. - Seeking, reflecting on, acting upon, and providing feedback. - Gathering information from various sources to analyze facts and detect patterns. - Demonstrating understanding of business operations and building commercial awareness. - Learning and applying professional and technical standards, adhering to the firm's code of conduct and independence requirements. - Assisting in developing and implementing GenAI models for automating risk assessments and compliance reporting. - Collaborating with subject matter experts to identify opportunities and introduce innovative solutions in SRC services. - Designing and implementing low-code workflows using Power Automate and integrating them with Microsoft 365 tools for process automation. - Evaluating and adjusting pre-trained models to align with SRC-specific language and compliance needs. - Staying updated on advancements in AI, LLMs, prompt engineering, and automation platforms relevant to cybersecurity and compliance. Requirements for the position include: - Proven experience in designing and implementing Generative AI (GenAI) and Machine Learning (ML) solutions for complex problems, preferably in cybersecurity, risk, or regulatory domains. - Deep expertise in large language models (LLMs), prompt engineering, embeddings, and text-based AI applications. - Proficiency in GenAI platforms like Azure OpenAI, Gemini, and integration frameworks for enterprise use. - Experience integrating GenAI solutions with Microsoft Power Platform to drive intelligent automation in business workflows. - Strong knowledge of machine learning concepts, including supervised, unsupervised, and generative models. - Hands-on experience with ML development frameworks such as NLP and Transformers. - Strong coding skills in Python for building scalable AI/ML tools and APIs. - Understanding of responsible AI principles and best practices in AI deployment. Desired qualifications include: - Hands-on experience with machine learning and GenAI technologies in real-world applications. - Relevant certifications such as Azure AI Engineer Associate are preferred. The role requires 2-3 years of overall experience in process automation/innovation, with at least 1-2 years in developing Gen AI models. The preferred educational background includes BE / B Tech / MCA / MS / MBA in Computer and Information Science or AI/ML. Additional Information: - Travel Requirements: Not Applicable - Line of Service: Advisory - Industry: Consulting - Location: Bangalore, Hyderabad, Mumbai, Kolkata,

You are a highly skilled GenAI Solution Architect with over 10 years of experience, looking to lead the design and implementation of cutting-edge Generative AI (GenAI) and Large Language Model (LLM) solutions for enterprise environments. Your role involves leveraging Azure AI services to deliver scalable, secure, and responsible AI applications. Your responsibilities include architecting, designing, and implementing GenAI/LLM-based enterprise solutions. You will work hands-on with Azure OpenAI, Form Recognizer, Cognitive Search, and other Azure AI services. Leading the end-to-end solution lifecycle, you will collaborate with development teams and stakeholders to integrate GenAI capabilities into existing applications using .NET and Cosmos DB. Ensuring best practices in scalability, cost-efficiency, compliance, and responsible AI delivery is crucial. To excel in this role, you need a minimum of 10 years of experience in solution architecture, with at least 2 years in AI/ML or GenAI space. Strong expertise in Azure OpenAI Services, Document Intelligence (Form Recognizer), and Azure Cognitive Search is required. Familiarity with .NET programming and Cosmos DB is a plus. Your solid experience in prompt design, LLM orchestration, and deploying AI models at scale will be valuable. Your excellent communication, stakeholder management, and documentation skills will be essential for success in this role. Understanding secure, compliant, and cost-optimized AI solution delivery is also a key requirement.,

Mandatory Certifications (Any 1) 1. AI-102 Microsoft Certified: Azure AI Engineer Associate. 2. DP-100 Microsoft Certified: Azure Data Scientist Associate. Good To Have 1. Azure Storage / Azure Deployments / Azure Data Factory 2. Database Skills - SQL Server Requirements: Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search. Strong proficiency in Python , GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search. Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS. Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications. Familiarity with microservices and API development. Knowledge of data security, privacy, and compliance best practices. Design and implement robust testing and validation strategies for AI solutions, including unit, integration, and end-to-end tests for chat interfaces and AI-driven features. Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions. Integrate the application with AI data models via secure, scalable APIs, ensuring seamless data flow and real-time interaction between the application and AI services. Validate AI outputs for correctness, relevance, and compliance with business requirements. Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy. Ensure compliance with ethical standards and regulatory requirements in AI development and deployment. Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement. Experience with automated testing, CI/CD pipelines, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience with telemetry analytics, observability platforms, or similar domains. Familiarity with AI/ML model deployment and MLOps in Azure. Knowledge of banking, payments, or financial services applications Locations: - Gurgaon, Hybrid (4 Days), No ODC Grade, Experience: - Lead/Senior Lead & 6 Y 10 Y Notice Period: - look for immediate, 30 Days, 60 Days. Show more Show less